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Security Scan Report: www.enas.fraunhofer.de

Submitted: Jan 21, 2026, 9:59:09 PMCompleted: Jan 21, 2026, 10:00:29 PMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 3 domains to perform 61 HTTP transactions. The main domain is enas.fraunhofer.de.

Submitted URL: https://www.enas.fraunhofer.de/

The Cisco Umbrella rank of the primary domain is #135,794 of the top 1 million websites

AI Security Verdict

Moderate Risk

Confidence: 80%

5
Risk Score

Legitimate Fraunhofer ENAS site, but unknown subdomain age and low ranking suggest moderate risk.

Risk Factors
Domain age unknown for subdomain
Low Cisco Umbrella ranking for subdomain
Safety Factors
HTTPS connection (assumed from URL)
Official Fraunhofer subdomain
No credential or payment forms present
No malicious Indicators of Compromise matches
Domain age information unavailable

Details

Page Title

Deutsch - Fraunhofer ENAS

Scan Type

public

Language

🇩🇪

German

(80% confidence)

Category

documentation technical

(40%)

Domain Information

Domain 'www.enas.fraunhofer.de' uses the German country-code top-level domain (.de) and includes subdomain 'www.enas'. The registrable portion 'fraunhofer' spans 10 characters holding four vowels versus 6 consonants. Splitting it apart reveals one word: fraunhofer. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.enas.fraunhofer.de/

Page Load Overview

2.97s
Total Load Time
64
HTTP Requests
3
Domains
51.6 MB
Total Size

Language Analysis

Primary Language

🇩🇪German
Code: de
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:de
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:de
Text Length:31,997 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical40% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

documentation technical
40%
corporate
25%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
32192.102.162.236Berlin, State of Berlin, Germany
AS680Verein zur Foerderung eines Deutschen Forschungsnetzes e.V.
3294.130.188.80Nuremberg, Bavaria, Germany
AS24940Hetzner Online GmbH
642--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13874302217DA292F322783587D352B69BDF6234BE21B5A0531FC695EBBC7E0146031DB

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:meUpoeGpa/WkUl1zMYpIQh7NlTzMYpIQh7Ylo9QP83s6OS:7UpRGpa/WkUlZBNlfBYlo9QP8X

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:351449:gBl3oxMIIIkCFQCFCSwBgOC5AAglIowASYEFAhDITAgCByEAAAF5SEqAECDAUCGwBR4kSnBCUWgX4mYPA0gSBAIRCgMYAwZY

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Image Hashes

Perceptual Hashes

Average Hash:fffd00010101fffd
Perceptual Hash:ab36c085ca9d2be6
Difference Hash:400559594b535129
Wavelet Hash:ffe501010101fffd
Color Hash:#5382ac

Other Hashes

Crop Resistant:400559594b535129,8cdbd9facb8bdbd2,4024d9d9969229b0

Scan History

Scan history not available

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